AndreaBozzo/ceres-open-data-index huggingface dataset:
Dataset of RGB and multispectral aerial images of cocoa agroforestry plots (Divo, Côte d'Ivoire)

[Lien vers la fiche source] This dataset contains all the raw multispectral and RGB drone-collected images from ten biodiverse cocoa agroforestry plots in Côte d'Ivoire. The plots are located in the main cocoa-growing region of the country in the neighborhood of Divo, in the central-western region, with latitudes ranging from 5°51' to 6°00' N and longitudes from 4°51' to 5°51' W. This area features a subequatorial climate, dense forests, annual rainfall between 900-1200 mm, and temperatures ranging from 24 to 27 °C. Images were captured in May 2022 using a DJI Phantom 4 Pro drone, equipped with six cameras: one optical and five spectral (R, G, B, Rededge, NIR). The flight pattern was set at 80 meters altitude, with an overlap of 70% side and 80% front, achieving an average ground sampling distance of less than 5 cm. The entire image set covers an area of approximately 52 hectares. The data have been collected in the frame of the Cocoa4Future European project.
Paracou Disturbance Experiment - Level3 Treatment Plots

[Lien vers la fiche source] [Paracou Research Station]. In 1984, the Cirad team set up 12 square 9ha plots, among which 9 were subjected to logging induced disturbances in 1986-1988. The level 3 treatment plots have undergone selective felling for timber plus logging of NCS of DBH between 40 and 50 cm (for fuelwood: 15 trees/ha), followed by poison-girdling of all NCS of DBH ≥50 cm (20 trees/ha). Poison-girdling of commercial species when trees had major defects. [Guyafor network]; [Guyafor Data Dictionary] ; [Paracou Forest Plots Details]
Paracou Disturbance Experiment - Level1 Treatment Plots

[Lien vers la fiche source] [Paracou Research Station]. In 1984, the Cirad team set up 12 square 9ha plots, among which 9 were subjected to logging induced disturbances in 1986-1988. The level 1 treatment plots have undergone selective felling for timber, about 10 trees/ha of DBH ≥ 50–60 cm, belonging to 58 commercial species. [Guyafor network]; [Guyafor Data Dictionary] ; [Paracou Forest Plots Details]
Paracou Disturbance Experiment - Level2 Treatment Plots

[Lien vers la fiche source] [Paracou Research Station]. In 1984, the Cirad team set up 12 square 9ha plots, among which 9 were subjected to logging induced disturbances in 1986-1988. The level 2 treatment plots have undergone selective felling for timber plus thinning by poison-girdling of all non-commercial species (NCS) of DBH ≥ 40 cm (30 trees/ha). Poison-girdling of commercial species when trees had major defects. [Guyafor network]; [Guyafor Data Dictionary] ; [Paracou Forest Plots Details]
Paracou Biodiversity Plots

[Lien vers la fiche source] [Paracou Research Station]. In 1990-1992, four plots (3x6.25ha + 1x25ha) were set up for biodiversity monitoring. No destructive sampling have been authorized at all in these plots. [Guyafor network]; [Guyafor Data Dictionary] ; [Paracou Forest Plots Details]
"Petit Plateau" permanent plots sixth census, 2015, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2015 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots fifth census, 2012, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2012 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots first census, 2005, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2005 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots fourth census, 2008, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2008 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots first census, 1992, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 1992 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots seventh census, 2017, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2017 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Parare-Arataye" permanent plots fifth census, 2017, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2017 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Parare-Arataye" permanent plots third census, 2007, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2007 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Parare-Arataye" permanent plots fourth census, 2010, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2010 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Parare-Arataye" permanent plots second census, 1995, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 1995 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Parare-Arataye" permanent plots first census, 1985, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 1985 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Balenfois" permanent plots first census, 2010, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2010 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots sixth census, 2015, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2015 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots seventh census, 2017, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2017 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots fifth census, 2012, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2012 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots fourth census, 2008, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2008 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots first census, 1992-94, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 1992-94 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots third census, 2004-06, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2004-06 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Grand Plateau" permanent plots eighth census, 2022, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities.
"Parare-Arataye" permanent plots eighth census, 2022, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities.
"Grand Plateau" permanent plots second census, 2000-01, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2000-01 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
QDA data, Instrumental textural data by TPA, Instrumental Color data for extraction of RTB genotypes with superior matooke quality traits from RTB breeding populations, at NARL, Uganda.

[Lien vers la fiche source] The selection of matooke clones with end-user acceptable traits is critical for ensuring consumer satisfaction and market competitiveness. This study evaluated various matooke clones based on sensory attributes, textural profile analysis (TPA), and colorimetric assessments using a Chroma meter. A 12-member panel of trained assessors conducted sensory evaluations, while instrumental analyses using a TMS-Pilot texture analyzer and a Chroma meter provided quantitative measures of texture and colour parameters (L*, a*, b* values) respectively. The findings indicate significant variations (p<0.05) among the clones in terms of firmness, adhesiveness, and cohesiveness, which correlate with consumer preferences. Additionally, colorimetric assessments highlight significant differences in appearance, an essential factor influencing consumer choices. The integration of sensory and instrumental analyses in this study identifies superior matooke clones with optimal textural and colour qualities.
A lexicon for organic residues valorization in emerging and developing countries

[Lien vers la fiche source] Text mining using F-TF-IDF-C was conducted on title of 7 692 publications related to valorization of organic residues in low and middle-income country. Experts then conducted annotation by relevance on candidate terms following two guides to determine whether the term is off topic or not. This dataset contains one table file of the initial corpus (Initial_Corpus_References.xlsx), one table with all extracted terms from text mining (Extracted_Term.xlsx), one document file with the two annotation guidelines (Annotation_guideline.pdf), and a last table file with the evaluated terms (Pertinent_Term.xlsx).
Bases de données des pratiques agroécologiques aux Comores, à l'île Maurice, à Madagascar et aux Seychelles

[Lien vers la fiche source] Il s'agit de fichiers de bases de données répertoriant les pratiques agro-écologiques (PAE) des pays de la zone Ouest océan Indien (Maurice, Comores, Madagascar et Seychelles). C'est le résultat d'un travail collectif réalisé lors de 3 ateliers régionaux à La Réunion (Septembre 2023), à l'île Maurice (Mars 2024) et aux Comores (Octobre 2024), complété par des d'entretiens avec les partenaires de chaque territoire et une enquête de terrain menée par l’ONG ID (Initiative Développement) entre mai et août 2024. Les PAE sont classées à dire d'experts en cinq thèmes définis avec les partenaires du projet APTAE-OI : Gestion du sol, Gestion intégrée des maladies et ravageurs, Gestion des adventices, Gestion de l’eau et Gestion de la biodiversité.
Dataset for participatory process diagnosis on pounded yam product profile in Ivory Coast

[Lien vers la fiche source] The quality of local consumer products in West Africa depends on numerous parameters that enable them to meet consumer expectations. To increase the chances of adoption of new genotypes developed by breeders, it is necessary to increasingly deepen the identification of adoption criteria among users of these raw materials. Among the latter, processors play a key role because they are at the interface between raw material producers and consumers; they therefore need varieties that are highly processable while still producing finished products of the quality expected by consumers. This participatory assessment of the pounded yam process into Foufou (pounded dough product) aimed, through the processing of ten contrasting varieties, to i) describe in detail the processing process, particularly the cooking and pounding steps; ii) compare the pounding ability of yam varieties based on drudgery criteria. In addition to a detailed description of the processing process, this study highlighted i) the importance of the dry matter content of the raw material, which must not be less than 28%; ii) the different pounding behaviors between varieties, with workloads that can vary by as much as twofold depending on the varieties used. This study enabled the development of new approaches to quantify the laboriousness of unit operations through video analysis. The first results presented here will need to be consolidated through additional studies on new genotypes while testing new participatory methods for describing the process of obtaining Foufou.
Dataset of texture analysis of Boiled yam using extrusion method at IITA Ibadan Nigeria

[Lien vers la fiche source] This dataset contains instrumental textural data obtained on boiled yam using extrusion method. The activities, which led to the production of this dataset, were carried out at IITA, Ibadan, Nigeria and were assessed and approved by the CIRAD Ethics Committee (H2020 ethics self-assessment procedure). This work was supported by the RTB Breeding project, through a sub-grant from the International Potato Center (CIP) to the French Agricultural Research Centre for International Development (CIRAD), Montpellier, France, incorporated in the grant agreement INV-041105 between CIP and the Bill & Melinda Gates Foundation (BMGF).
Boiled sweet potato NIRS spectral database with lab reference data on maltose for 100 genotypes harvested in 2023 and 2024 at CIP, Uganda

[Lien vers la fiche source] This dataset contains NIRS spectral data with lab reference data on maltose collected on 100 boiled sweet potato genotypes harvested in 2023 and 2024 seasons at the International Potato Center in Uganda. This work was supported by the RTBfoods project, through a grant OPP1178942: Breeding RTB products for end user preferences (RTBfoods), to the French Agricultural Research Centre for International Development (CIRAD), Montpellier, France, by the Bill & Melinda Gates Foundation (BMGF).
Instructions for the construction and operation of a float-controlled self-contained laser gauge for monitoring river levels in tropical environments

[Lien vers la fiche source] The design files and code available in this dataset enable the construction and operation of the self-contained water level gauge presented in the article “A float-controlled self-contained laser gauge for monitoring river levels in tropical environments”. The dataset includes two pdf files, the source code for the MKR wifi 1010 card used to control the water level gauge, and four Arduino library files modified to meet the specific needs to theis application. * SCWL gauge mechanical design April 2025.pdf includes a detailed description of the components of the self-contained gauge assembly, as well as mechanical drawings with dimensions to guide the constuction of the self-contained water level gauge. * SCWL gauge electronic design April 2025.pdf includes the gauge's electronic circuit diagram, as well as an electronic schematic and an alternative circuit diagram to implement an ultra-low-power version of the device. * LoggerMKR0lp8d.ino is the source code to be uploaded to the MKR wifi 1010 card using the Arduino IDE software in order to operate the water level gauge. The authors acknowledge the financial support of the French National Research Agency (DinBuam Projet-ANR-22-CE03-0006) and the Institut de Recherche pour le Développement (IRD), including support to the Multiscale TROPIcal CatchmentS (SNO M-TROPICS; https://mtropics.obs-mip.fr/) critical zone observatory (previously MSEC). The field data used to carry out the field testing of the water level gauge were collected thanks to the long-term partnership between IRD and the Department of Agricultural Land Management (DALaM), Lao PDR, which granted permission for field access, and the scientific, technical and/or logistical support of the Multiscale TROPIcal CatchmentS critical zone observatory.
Antananarivo - 2017  Land cover map

[Lien vers la fiche source] The map proposed here is a key data to understand urban agriculture’s dynamics in relation to urbanization in Antananarivo agglomeration and agriculture’s contribution to the city food system while debates are ongoing to update Antananarivo city master plan. This land cover map was obtained using the Moringa treatment chain, a prototype chain developed by CIRAD (TETIS Joint Research Unit). It is based on the combined use of a very high spatial resolution Pleiades image acquired on 8 January 2017 by the ISIS system of the CNES (French Space Agency) and high spatial image time series Sentinel-2 and Landsat-8 for a period from October 2016 to September 2017, in a classification approach combining OBIA (object based image analysis) and data mining (Random Forest) trained by a reference database collected in situ. The processing is done with free software (Orfeo Toolbox and Python). The field database consists of field surveys conducted with GPS device. The surveys were conducted in 2017 during the raining season. Outline of the plots were drawn on the Pleiades image. This database of 3068 plots was then divided in two: 80% of the plots per class were randomly selected to form the learning database and the remaining 20% was selected to form the validation database. This map was developed within the frame of a research project (“Legend project”) supported by the metaprogramme GloFoodS (Transitions to global food security) jointly conducted by INRA and Cirad, the two leading French research institutions for agriculture (www.glofoods.inra.fr). The objective of our study was to test an innovative mapping method in an area of great complexity where urban and agriculture are intertwined : the Antananarivo’s agglomeration.